Signature Verification with Roboflow – Image Classification & Annotation
In this project, I used Roboflow to train computer vision models for signature verification, distinguishing between genuine and forged handwritten signatures. My work included preparing and labeling image datasets with bounding boxes and classification tags, configuring training parameters, and iterating on models to improve detection accuracy. The project involved curating a balanced dataset of signatures, applying consistent annotation standards, and testing model iterations to evaluate performance. I adhered to quality measures such as clear labeling criteria and dataset versioning to ensure reproducibility. This hands-on project allowed me to strengthen my expertise in data labeling, image classification, and model evaluation, while applying AI training techniques to a real-world use case in document validation and fraud prevention.